{"id":"https://openalex.org/W1997079092","doi":"https://doi.org/10.1007/s10994-007-5005-y","title":"Multi-Class Learning by Smoothed Boosting","display_name":"Multi-Class Learning by Smoothed Boosting","publication_year":2007,"publication_date":"2007-04-03","ids":{"openalex":"https://openalex.org/W1997079092","doi":"https://doi.org/10.1007/s10994-007-5005-y","mag":"1997079092"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-007-5005-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-007-5005-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-007-5005-y.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-007-5005-y.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069394608","display_name":"Rong Jin","orcid":"https://orcid.org/0000-0002-8797-4646"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rong Jin","raw_affiliation_strings":["Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, 48824, USA","Department of Computer Science and Engineering, Michigan State University, East Lansing, USA 48824"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, 48824, USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Michigan State University, East Lansing, USA 48824","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100409994","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0002-7240-3541"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["Department of Statistics, Purdue University, West Lafayette, IN, 47907, USA","Department of Statistics, Purdue University, West Lafayette, USA 47907#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Purdue University, West Lafayette, IN, 47907, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Department of Statistics, Purdue University, West Lafayette, USA 47907#TAB#","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069394608"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":2.4219,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.8971051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"67","issue":"3","first_page":"207","last_page":"227"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.9289361834526062},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.8396769762039185},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.7036370038986206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7031006813049316},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6319060325622559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6289980411529541},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.47593286633491516},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47545525431632996},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.46442070603370667},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40000778436660767},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.3080522119998932},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.16118648648262024}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.9289361834526062},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8396769762039185},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.7036370038986206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7031006813049316},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6319060325622559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6289980411529541},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.47593286633491516},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47545525431632996},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.46442070603370667},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40000778436660767},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.3080522119998932},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.16118648648262024},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10994-007-5005-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-007-5005-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-007-5005-y.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10994-007-5005-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-007-5005-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-007-5005-y.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1997079092.pdf","grobid_xml":"https://content.openalex.org/works/W1997079092.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W44402286","https://openalex.org/W175058090","https://openalex.org/W202303397","https://openalex.org/W1494922272","https://openalex.org/W1525410796","https://openalex.org/W1532883599","https://openalex.org/W1540007258","https://openalex.org/W1550206324","https://openalex.org/W1578772208","https://openalex.org/W1588401315","https://openalex.org/W1595781024","https://openalex.org/W1600295424","https://openalex.org/W1602492977","https://openalex.org/W1605688901","https://openalex.org/W1676820704","https://openalex.org/W1931284523","https://openalex.org/W1988790447","https://openalex.org/W1991835468","https://openalex.org/W2019575783","https://openalex.org/W2024046085","https://openalex.org/W2032210760","https://openalex.org/W2043182541","https://openalex.org/W2099968818","https://openalex.org/W2112076978","https://openalex.org/W2114229504","https://openalex.org/W2116444583","https://openalex.org/W2136380253","https://openalex.org/W2138745909","https://openalex.org/W2139212933","https://openalex.org/W2144546468","https://openalex.org/W2148603752","https://openalex.org/W2152761983","https://openalex.org/W2156909104","https://openalex.org/W2157112198","https://openalex.org/W2157239837","https://openalex.org/W2172000360","https://openalex.org/W2282078507","https://openalex.org/W2293879901","https://openalex.org/W3193477162","https://openalex.org/W3215084437","https://openalex.org/W4244952642","https://openalex.org/W4285719527","https://openalex.org/W6608351394","https://openalex.org/W6676769703","https://openalex.org/W6678507914","https://openalex.org/W6683380652","https://openalex.org/W6697253385","https://openalex.org/W7037780210","https://openalex.org/W7058318796","https://openalex.org/W7066729090","https://openalex.org/W7071374342"],"related_works":["https://openalex.org/W2393964553","https://openalex.org/W2327035729","https://openalex.org/W2348748958","https://openalex.org/W3039673966","https://openalex.org/W2121565117","https://openalex.org/W1538046993","https://openalex.org/W1487831638","https://openalex.org/W2884325279","https://openalex.org/W1570592793","https://openalex.org/W1525436954"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-16T07:32:37.131356","created_date":"2025-10-10T00:00:00"}